ArticleBMJ open2024
Innovative behaviour profile and its associated factors among nurses in China: a cross-sectional study based on latent profile analysis.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Article
- The mediating role of deep learning approach between the proactive personality and innovative behavior of undergraduate nursing students.BMC nursing · 2026Article
- The mediating role of innovative self-efficacy between transformational leadership and innovation performance among nurses in tertiary hospitals in China.BMC nursing · 2026Article
- Latent profiles of innovative behavior among hemodialysis nurses and their association with artificial intelligence literacy: a cross-sectional study.Frontiers in medicine · 2026Article
- Current status of innovative behaviors among nurses in public hospitals and its influencing factors: a cross-sectional study.Frontiers in psychology · 2026Article
- Traditional Chinese medicine nursing competency and its correlates among clinical nurses in Guangyuan City, China.Frontiers in medicine · 2026Article
- Profiles of innovative behavior and associated predictors among clinical nurses: a multicenter study using latent profile analysis.BMC nursing · 2025Article
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Abstract
objectivesThis study aimed to investigate the current status of innovative behaviours among nurses in traditional Chinese medicine (TCM) hospitals using latent profile analysis, identify potential subgroups and their population characteristics and explore factors associated with different categories.
designCross-sectional study.
settingSix TCM hospitals in Anhui, China.
participantsFrom 1 April 2023 to 31 July 2023, a total of 642 registered nurses with more than 1 year of work experience were recruited from the clinical departments of six TCM hospitals using a stratified cluster sampling method. 529 valid questionnaires were recovered, presenting a validity rate of 82.40%. PRIMARY AND SECONDARY OUTCOME MEASURES: Data were collected through online surveys containing a sociodemographic questionnaire, the Nurse Innovative Behaviour Scale, the Nurse Adversity Quotient Self-Evaluation Scale and the Conditions for Work Effectiveness Questionnaire-II. Latent profile analysis was performed to identify categorisation features of nurses' innovative behaviour in TCM hospitals. Multiple logistic regression analyses were used to investigate associated factors with profile membership.
resultsTCM hospital nurses' innovative behaviours were mainly classified into three types of latent profiles: low innovative behaviour (35.3%), moderate innovative behaviour (48.4%) and high innovative behaviour (16.3%). The results of multiple logistic regression analyses indicated that gender, monthly income, department, hospital level, position, nurse competency level, any training attended related to TCM knowledge and skills, adversity quotient level and structural empowerment level were the influencing factors for the potential profiles.
conclusionsThe innovative behaviour of nurses in TCM hospitals can be classified into three categories. Studying the heterogeneity of the innovative behaviour of nurses in TCM hospitals and its associated factors provides evidence for nursing administrators and educators to develop individualised interventions based on each latent characteristic to improve the innovative behaviour of nurses in TCM hospitals. It is of great significance to the heritage and innovative development of TCM nursing.
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